I have performed a two sample t-test on smoothed and modulated gray matter
maps in subjects with stroke. To generate these gray matter maps, I
outlined the stroke by hand, then used the outline as a mask during unified
segmentation (SPM5), which resulted in the stroke mask voxels having a value
Because the t-test ignores any voxel where even one subject has a value of
zero, across 50 subjects, half the brain ends up being ignored because at
least one stroke patient has injury in most brain areas.
Is there a method that I can implement in SPM5 so that the t-test would
include all the brain voxels rather than only a small subset (i.e. rather
than only those voxels that are common to all the maps)?
Any suggestions would be much appreciated